Continued Data Acquisition Development

Schwellenbach, David

doi:10.2172/1416536

Title: Continued Data Acquisition Development

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Abstract

This task focused on improving techniques for integrating data acquisition of secondary particles correlated in time with detected cosmic-ray muons. Scintillation detectors with Pulse Shape Discrimination (PSD) capability show the most promise as a detector technology based on work in FY13. Typically PSD parameters are determined prior to an experiment and the results are based on these parameters. By saving data in list mode, including the fully digitized waveform, any experiment can effectively be replayed to adjust PSD and other parameters for the best data capture. List mode requires time synchronization of two independent data acquisitions (DAQ) systems: the muon tracker and the particle detector system. Techniques to synchronize these systems were studied. Two basic techniques were identified: real time mode and sequential mode. Real time mode is the preferred system but has proven to be a significant challenge since two FPGA systems with different clocking parameters must be synchronized. Sequential processing is expected to work with virtually any DAQ but requires more post processing to extract the data.

Authors:

Schwellenbach, David ^[1]

National Security Technologies, LLC. (NSTec), Mercury, NV (United States)

Publication Date:: Mon Nov 27 00:00:00 EST 2017

Research Org.:: National Security Technologies, LLC (NSTec), Mercury, NV (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation

OSTI Identifier:: 1416536

Report Number(s):: DOE/NV/25946-3415

DOE Contract Number:: AC52-06NA25946

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; cosmic ray; muon; scintillation; data acquisition; DAQ; pulse shape discrimination; PSD; digitized waveform

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                    Schwellenbach, David. Continued Data Acquisition Development.  United States: N. p., 2017. 
        Web.  doi:10.2172/1416536.

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                    Schwellenbach, David. Continued Data Acquisition Development.  United States.  https://doi.org/10.2172/1416536

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                    Schwellenbach, David. 2017.  
        "Continued Data Acquisition Development".  United States.  https://doi.org/10.2172/1416536.  https://www.osti.gov/servlets/purl/1416536.

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@article{osti_1416536,

  title        = {Continued Data Acquisition Development},

  author       = {Schwellenbach, David},

  abstractNote = {This task focused on improving techniques for integrating data acquisition of secondary particles correlated in time with detected cosmic-ray muons. Scintillation detectors with Pulse Shape Discrimination (PSD) capability show the most promise as a detector technology based on work in FY13. Typically PSD parameters are determined prior to an experiment and the results are based on these parameters. By saving data in list mode, including the fully digitized waveform, any experiment can effectively be replayed to adjust PSD and other parameters for the best data capture. List mode requires time synchronization of two independent data acquisitions (DAQ) systems: the muon tracker and the particle detector system. Techniques to synchronize these systems were studied. Two basic techniques were identified: real time mode and sequential mode. Real time mode is the preferred system but has proven to be a significant challenge since two FPGA systems with different clocking parameters must be synchronized. Sequential processing is expected to work with virtually any DAQ but requires more post processing to extract the data.},

  doi          = {10.2172/1416536},

  url          = {https://www.osti.gov/biblio/1416536},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Nov 27 00:00:00 EST 2017},

  month        = {Mon Nov 27 00:00:00 EST 2017}

}

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https://doi.org/10.2172/1416536

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